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WHAT IS
DATA ANALYTICS?
The process of collecting,
organizing and analyzing data
to discover patterns and
other useful information.
The process of developing
actionable decisions or
recommendations based on
insights generated from
data.
What is data analytics
Better understand information
contained within the data.
• Identify the data that is most
important to the business; and use it
to make business decisions.
• Data-driven decision making
• Example benefits include:
• Increased efficiency
• Improved operations
• Enhanced customer retention
• Examples:
• Walmart: Hurricanes & Pop-Tarts
• Osco Drug (?): Beer & Diapers
• Target: “Targeted” advertising
Data Science/ Data Analytics:
A Three-Legged Stool
Technology acumen
• Business acumen
• Statistics acumen
THREE TYPES OF
ANALYTICS
Descriptive
Analytics
Predictive
Analytics
Prescriptive
Analytics
PREDICTIVE ANALYTICS
Numerous well-known examples
• Starbucks determining where to open new stores
• FedEx predicting customers’ response to price
changes and new services with 65~90% accuracy
PRESCRIPTIVE ANALYTICS
Uses both descriptive and
predictive techniques to create
alternatives, and then helps to
determine the best one.
SOME POTENTIAL
CHALLENGES IN DATA A N A LY T I C S
Big Data – The sheer volume of data
• Reality and the phenomenal world
• Forecasted to be 163 ZB by 2025
• Data formats
• Structured vs. Unstructured
• Text, images, sound, etc.
• Data location
• Data silos
• Internal vs. External to the organization
Data visualization: What is it?
Data visualization apps include:
• Tableau
• Power BI
• QlikView
• And many others ...
WHAT IS BLOCKCHAIN
TECHNOLOGY?
A blockchain is a distributed ledger of
transactions
• Blockchains consist of multiple blocks, each
of which contain time-stamped transactions
• These blocks are joined together in a chain
• Nodes (computers) are connected devices
that have a copy of the entire blockchain
and can validate transactions
• The nodes are periodically synchronized to
ensure consensus on the blockchain
Encryption
asymmetric encryption systems
• provide a public key to convert plain text into
encrypted text,
• require a private key to convert encrypted text
back to plain text
Digital signature
encrypted form of electronic ID
SUPPORTING TECHNOLOGY
TRANSACTION VALIDATION AND CONSENSUS
Participating nodes compete to assemble transactions into
blocks
• Winning node earns a reward (transaction fees for the block;
e.g., in bitcoin, etc.)
• Blocks can be won via different methods:
• Proof of Work (PoW) – solving complex mathematical problems (e.g.,
Bitcoin mining)
• Proof of Stake (PoS) – random selection process of “stake” in blockchain
(e.g., Ethereum)
• Proof of Elapsed Time (PoET) – waiting for random amount of time
• ... and others
• Nodes must agree to add new blocks to reach consensus
SUPPORTING TECHNOLOGY
HASH FUNCTION
A cryptographic function that
converts one value to another
(producing a hash value)
e.g., SHA256
How are hash functions used
with Blockchain?
Input: the data from each block
Output: a unique, fixed length
string of characters
Any change to the input changes
the hashed output
PUTTING IT ALL TOGETHER
Blockchain technology creates an immutable record of
transactions that is distributed across the nodes of the
blockchain network.
• Usually quite secure, unless:
• An individual or group gains control of a majority of the nodes
• 51% attack
• Why?
• Can change or remove existing transactions
TYPES OF BLOCKCHAIN NETWORKS
Public
private
semiprivate
consortium
BLOCKCHAIN APPLIC ATIONS
Cryptocurrencies, such as Bitcoin, Ethereum, Litecoin, etc.
• Smart contracts
• Digital identity
• dApps (decentralized applications) and Web3
• NFTs – Non-fungible tokens
• A verifiable, digital asset that represents digital or physical objects like art,
music, and other collectibles that are easy to trade on the blockchain.
• Any application where a secure, immutable record must be shared
between multiple parties
• ensuring product authenticity
• recording real estate transactions
• secure medical records
• ... and more